Data Scientist - AI | Bangalore, IN

Future Talent: Data Scientist / Lead Data Scientist - AI (Talent Community - India)

Location: Bengaluru

Position Type: Future Opening - Talent Pipeline

The Opportunity

We are continuously searching for exceptional Data Scientists and AI Specialists across India to help us build innovative AI-powered solutions that transform financial markets and empower decision-making at scale.

While we may not have an immediate opening today, this dedicated Data Science & AI Talent Community allows us to engage with high-calibre professionals early and connect them with future opportunities as our teams grow. Candidates in our talent community may be considered for Data Scientist, Senior Data Scientist, and Lead Data Scientist opportunities aligned to their skills and experience.

By joining our AI talent network, you'll gain insight into our engineering culture, AI innovation strategy, and future opportunities while positioning yourself for accelerated consideration when relevant roles become available.

What You'll Do (When You Join Us)

As a Data Scientist, you will work on high-impact AI and machine learning solutions that move beyond experimentation into scalable production environments.

Build AI Solutions

Develop and deploy production-grade AI and machine learning solutions using modern Generative AI technologies such as OpenAI, Gemini, and other advanced LLM platforms.

Design data-driven models that solve complex business and customer challenges.

Apply statistical and machine learning techniques to extract insights from large-scale datasets. Optimize & Innovate

Tune, evaluate, and enhance AI models to improve accuracy, scalability, efficiency, and business impact.

Assess emerging AI technologies and third-party solutions against functional and non-functional requirements.

Establish and maintain strong model evaluation, monitoring, and governance standards. Collaborate

Partner closely with engineering, product, business, and research teams to define AI roadmaps and deliver measurable outcomes.

Translate complex analytical findings into actionable recommendations for technical and non-technical stakeholders.

Contribute to solution design discussions and best-practice initiatives across teams. Lead & Grow

Drive technical excellence through coding standards, model governance, and knowledge sharing.

Mentor peers and contribute to data science communities, innovation forums, and technical discussions.

Support the adoption of modern AI engineering and MLOps practices. What You'll Bring

Technical Expertise

Strong experience applying Data Science, Machine Learning, and AI techniques to real-world business problems.

Proficiency in Python and modern data science libraries such as TensorFlow, PyTorch, and Scikit-Learn.

Expertise working with cloud platforms such as Azure and/or AWS.

Strong statistical modelling, data analysis, and problem-solving capabilities.

Experience deploying AI/ML models into production environments. Engineering Excellence

Understanding of software engineering principles and maintainable code practices.

Familiarity with DevOps, CI/CD, model deployment, testing, and monitoring practices.

Ability to balance innovation with scalability, reliability, and security requirements. Ways of Working

Build With Purpose - Start with why. Focus on outcomes and measurable impact.

Customer Driven - Work backwards from customer needs and feedback.

Technically Courageous - Solve difficult problems and challenge conventional thinking.

Learn and Be Curious - Continuously explore emerging technologies and AI advancements.

Act as Owner - Take accountability for long-term value creation.

Lead with Data - Use evidence and insights to drive decision-making.

Collaborate to Achieve - Work inclusively across disciplines and teams. How We Hire

Our hiring process is skills-focused and designed to be fair, objective, and consistent. Depending on the role level, candidates may participate in technical assessments and interview stages evaluating:

Data Science and Machine Learning fundamentals

Python programming and problem-solving skills

AI / Generative AI expertise

Applied business problem solving

Communication and stakeholder management

Alignment with our engineering principles and values Why Connect Now

Skip the Line

Candidates in this talent community may receive priority consideration when suitable Data Science and AI opportunities become available.

Exclusive Insights

Gain visibility into our AI innovation initiatives, engineering events, and technical community discussions.

Career Alignment

We will connect with you regarding opportunities that align with your interests, whether in Machine Learning, Generative AI, MLOps, NLP, Data Science, Applied AI, or AI Platform Engineering.

How to Join

Upload your CV along with a brief note describing:

The Data .